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Overview of the proposed MSBFAN for sequence MR image SR.
Abstract
The overall structure consists of three parts: Initial feature extraction FE(.), spatio-temporal module FSTAM(.) and reconstruction FR(.). The horizontal line is based on our MSBPN to explore the spatial information of target slice. The vertical line computes the residual features from a pair of target and neighbor slices to explore the temporal information. On each spatio-temporal attention module, the spatial information and the temporal information are connected and enhanced to recover the missing details.</p- Image
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- xlink "> high
- made remarkable progress
- experimental results demonstrate
- adjacent image sequence
- resolution magnetic resonance
- sequential medical images
- medical images sequence
- iterative refinement process
- supplementary temporal information
- single medical image
- resolution via multi
- lightweight mri super
- based sr methods
- medical images
- single image
- natural images
- target image
- satisfactory image
- temporal dependencies
- temporal correlation
- spatial information
- lightweight number
- lightweight multi
- information fusion
- scale back
- sampling layers
- reconstruction accuracy
- recent years
- projection units
- projection network
- parameter quantity
- effectively learn
- deep learning
- clinical diagnoses
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Last time updated on 16/12/2022
This paper was published in The Francis Crick Institute.
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